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| Load identification of piezoelectric structures by using genetic algorithm and finite element analysis |
| Received:June 18, 2008 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20093008 |
| KeyWord:load identification genetic algorithm finite element method piezoelectric structure |
| Author | Institution |
| 郑世杰 |
南京航空航天大学 智能材料与结构航空科技重点实验室,南京 |
| 郭腾飞 |
南京航空航天大学 智能材料与结构航空科技重点实验室,南京 |
| 董会丽 |
南京航空航天大学 智能材料与结构航空科技重点实验室,南京 |
| 宋振 |
南京航空航天大学 智能材料与结构航空科技重点实验室,南京 |
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| Abstract: |
| In this paper, a new approach is presented for solving the problems of load identification, which combines the genetic algorithm(GA) and finite element analysis. As compared with the traditional optimization and search algorithms, GA search from a population of points in the region of the whole solution space, rather than a single point, and can obtain the global optimum. Moreover, GA has the advantage of easy implementation, because only an objective function is required and derivatives or other auxiliary information are not necessary. To implement the genetic algorithm for the determination of the optimal design, it is necessary first to devise a general coding system for the representation of the design variables. Most commonly the design variables are coded by a bit-string and the fact that, with this binary representation, the design variables can be coded only as integers, means that there will be usually loss of precision due to the binary representation and the length of each chromosome as well as the population of chromosomes must be very huge in order to obtain a relatively accurate model. In this paper, the location and magnitude of the load are coded with binary string and real number representation, respectively; therefore, the chromosome length will be substantially shorter, which greatly reduces the computational effort. |
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